Optimizing Serial Code In Julia 1 Memory Models Mutation And Vectorization

Summary

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. You might not know all of the latest methods in differential equations, all of the best knobs to tweak, how to properly handle ... In this series, we're gonna define our own This talk will present how basic operations on vectors, summation and dot products, can be made more accurate with respect ... This talk was presented as part of JuliaCon2021 Abstract: Modern databases can choose between two approaches to evaluating ... This is the second video in the series about defining your This video briefly covers how to write, debug, and Lessons learned while achieving a 100x speedup of TrajectoryOptimization.jl by eliminating allocations. In this tutorial, we explore the package LinearOperators.jl, one of the cornerstones of the efficient design of nonlinear